Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full disclosure burden, and it does add real value: the payment model ($0.010 USDC/call, x402, eip155:8453) and the return shape (numeric score plus letter grade plus ranked fixes) are stated. It does not say whether the tool makes live requests to the target site, whether it is strictly read-only, or whether there are timeouts or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One dense sentence plus a bracketed price tag; the cost is front-loaded so an agent sees the paid-operation signal before the capability text. No filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter, no-annotation tool with no output schema, the description covers what is graded and what comes back (score, grade, ranked fixes). The remaining gap is operational behavior—whether it fetches the target live and what the failure modes are.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single required parameter and the schema already documents it at 100% coverage ('Site or API base URL'), so the baseline is 3. The description adds nothing about the URL beyond what the schema says, for example path handling or whether subpaths are crawled.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb-and-resource framing: it grades a website or API 0-100 (A-F) on agent readiness, and it enumerates the exact signals checked (AI-bot access, llms.txt, A2A card, MCP manifest, x402 discovery, OpenAPI, agentic-commerce markup). That scope is concrete, but it never distinguishes this bundled scan from overlapping siblings such as mcp_probe, a2a_card_check, x402_probe, site_audit_full or seo_full_audit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not, and no alternative is named. The guidance exists only by implication: the enumerated check list and 'fixes ranked by impact' imply this is the aggregate readiness assessment you run instead of individual probes.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.